Join Zaimler, a venture-backed company revolutionizing enterprise data preparation for the AI era. We're tackling the critical challenge of making enterprise data AI-ready through innovative solutions that bridge the gap between business knowledge and data infrastructure.
As a Founding Data Infrastructure Engineer focusing on Query Engine development, you'll be at the forefront of building scalable, high-performance systems that power our data democratization mission. You'll work with cutting-edge technologies and contribute to solving complex challenges in distributed systems and query processing.
Our team comprises seasoned experts from industry leaders like LinkedIn, Visa, Truera, Hive, and Branch, bringing decades of experience in data infrastructure and machine learning. We're looking for someone who thrives in early-stage environments, has deep technical expertise in distributed systems, and can navigate the complexities of building robust systems from scratch.
You'll have the opportunity to shape our engineering culture, mentor others, and work cross-functionally in an environment that values transparency and innovation. If you're passionate about distributed systems, query optimization, and want to make a significant impact on how enterprises leverage AI, this role offers an exciting opportunity to be part of a transformative journey in enterprise AI.
The position offers the chance to work with modern data lake formats, contribute to open-source platforms, and stay at the cutting edge of query processing and distributed systems development. Join us in our mission to empower AI and data scientists while building the future of enterprise AI infrastructure.